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EBIWorkingPaperSeries2023–
no.140Alessio
Azzutti/Pedro
MagalhãesBatista/Wolf-GeorgRingeNavigatingtheLegalLandscapeofAI-EnhancedBankingSupervision:ProtectingEUFundamentalRightsandEnsuringGoodAdministration27/04/2023Electroniccopyavailableat:/abstract=4430642The
European
Banking
InstituteThe
European
Banking
Institute
based
in
Frankfurt
is
an
international
centre
for
banking
studies
resulting
from
the
jointventure
of
Europe’s
preeminent
academic
institutions
which
have
decided
toshare
andcoordinatetheir
commitments
andstructure
their
research
activities
in
order
to
provide
the
highest
quality
legal,
economic
and
accounting
studies
inthefieldof
bankingregulation,
bankingsupervision
andbankingresolutioninEurope.
TheEuropeanBanking
Institute
is
structuredto
promote
the
dialogue
between
scholars,
regulators,
supervisors,
industry
representatives
and
advisors
in
relation
toissues
concerningthe
regulation
and
supervision
of
financial
institutions
and
financialmarkets
from
alegal,
economic
andanyotherrelatedviewpoint.
The
Academic
MembersofEBIarethe
following:1.2.3.4.5.6.7.8.9.UniversiteitvanAmsterdam,Amsterdam,The
NetherlandsUniversiteitAntwerpen,
Antwerp,
BelgiumAlma
MaterStudiorum
–UniversitàdiBologna,Bologna,ItalyAcademiadeStudiiEconomicedin
București(ASE),Bucharest,RomaniaUniversitätBonn,Bonn,
GermanyTrinityCollege,Dublin,IrelandTheUniversityof
Edinburgh,Edinburgh,
ScotlandGoethe-Universität,
Frankfurt,
GermanyFrankfurtSchoolof
Finance&Management,Frankfurt,Germany10.
UniversiteitGent,
Ghent,Belgium11.
Helsinginyliopisto(Universityof
Helsinki,Helsinki,
Finland)12.
UniversiteitLeiden,
Leiden,
The
Netherlands13.
KULeuvenUniversity,Leuven,Belgium14.
UniversidadeCatólicaPortuguesa,
Lisbon,Portugal15.
UniversidadedeLisboa,
Lisbon,Portugal16.
UniverzevLjubljani
(Universityof
Ljubljana,
Ljubljana,Slovenia)17.
QueenMaryUniversityof
London,London,
UnitedKingdom18.
UniversitéduLuxembourg,Luxembourg19.
UniversidadCarlosIII
deMadrid,
Madrid,
Spain20.
UniversidadAutónomaMadrid,
Madrid,
Spain21.
UniversidadComplutensedeMadrid/CUNEF,Madrid,
Spain
22.
Johannes
GutenbergUniversity
Mainz(JGU),
Mainz,Germany23.
UniversityofMalta,Malta24.
UniversitàCattolicadelSacroCuore,
Milan,Italy25.
ΠανεπιστήμιοΚύπρου
(Universityof
Cyprus,Nicosia,
Cyprus)26.
RadboudUniversiteit,
Nijmegen,TheNetherlands27.
BINorwegianBusinessSchool,
Oslo,Norway28.
UniversitéPanthéon-Sorbonne(Paris1),Paris,France29.
UniversitéPanthéon-Assas
(Paris2),
Paris,France30.
ΠανεπιστήμιοΠειραιώς
(UniversityofPiraeus,Athens,
Greece)31.
StockholmsUniversitet
(University
ofStockholm,Stockholm,Sweden)32.
TartuÜlikool
(UniversityofTartu,Tartu,Estonia)33.
Universität
Wien,
Wien,Austria34.
UniwersytetWrocławski(Universityof
Wrocław,Wrocław,
Poland)35.
UniversitätZürich
(Universityof
Zürich,Zürich,Switzerland)SupervisoryBoardofthe
EuropeanBankingInstitute:ThomasGstaedtner,PresidentoftheSupervisoryBoardof
theEuropeanBanking
InstituteEnricoLeone,
ChancelloroftheEuropeanBanking
InstituteEBI
Working
Paper
SeriesEBI
Working
Paper
Series
are
a
project
of
the
European
Banking
Institute
e.V..
EBI
Working
Paper
Series
represent
aselection
of
academic
researches
into
the
area
of
banking
regulation,
banking
supervision
and
banking
in
general
whichhavebeendraftedbyprofessors
and
researchersofEBIAcademicMembersandselectedbytheEditorialBoard.Editorial
BoardWolf-GeorgRinge(chair),ThierryBonneau,
Guido
Ferrarini,
Christos
Hadjiemmanuil,
PeterMülbert,IgnacioTirado,Eddy
Wymeersch©
2016-2023
European
Banking
Institute
e.V.,
Frankfurt
am
Main
Germany
(“EBI”)
The
European
Banking
Institute
is
a
eingetragener
Verein
(e.V.)under
German
law
(§
21
of
German
Civil
Code)
registered
in
Frankfurt
am
Main,
Germany.
EBI
is
a
non-profit
organisation
established
exclusively
anddirectly
for
charitable
purposes
"gemeinnützig"
within
the
meaning
of
"Steuerbegünstigte
Zwecke"
in
the
German
tax
administration
code("Abgabenordnung").Allrightsreserved.Electroniccopyavailableat:/abstract=4430642NAVIGATING
THELEGAL
LANDSCAPE
OF
AI-ENHANCED
BANKING
SUPERVISION:PROTECTING
EU
FUNDAMENTAL
RIGHTS
AND
ENSURING
GOOD
ADMINISTRATIONAlessio
Azzutti*PedroMagalhães
Batista†and
Wolf-Georg
Ringe‡AbstractBanking
supervisors
worldwide
recognise
the
pressing
need
to
harness
frontier
technologies
suchas
artificial
intelligence
(AI),
particularly
machine
learning
(ML),
to
enhance
their
efficiency
andanalytical
capabilities.
The
European
Central
Bank
(ECB)
has
similarly
acknowledged
theopportunitiesofferedbysupervisorytechnology(SupTech)andestablishedadedicatedSuptechHub.
However,
the
adoption
of
automated
technologies
in
banking
supervision
raises
complexquestions
of
legality,
transparency,
and
accountability,
particularly
for
the
ECB,
as
a
publicinstitutionwithintheEU’sdemocraticorderfoundedontheruleoflaw.This
study
investigateshow
the
useof
AI
systems
to
augment
supervisory
decision-making
mayimpact
EU
fundamental
rights,
particularly
the
right
to
good
administration.
To
this
end,
we
firstdefine
the
notion
of
good
administration
in
the
context
of
banking
supervision,
and
explore
whatit
entails
for
the
ECB
from
legal
and
ethical
perspectives.
We
then
analyse
the
potentialimplications
of
AI-enhanced
banking
supervision
for
good
administration
and
examine
how
thelattermayinformtheintegrationofAI/MLintosupervisoryprocessesandprocedures.Drawing
inspiration
from
the
proposed
EU
AI
Act,
we
develop
a
normative
framework
forregulating
AI
systems
based
on
specific
risks
to
good
administration
associated
with
differentapplications.
Our
framework
prioritises
transparency,
auditability
and
accountability
requirementsto
ensure
that
future
AI-driven
banking
supervision
is
aligned
with
the
principles
of
goodadministration.Overall,
this
study
contributesto
thegrowingliterature
on
the
legalimplications
ofAI
and
ML
adoption
by
financial
supervisors,
underscoring
the
importance
of
a
balanced
approachthatupholdsfundamentalrightswhileharnessingthebenefitsoftechnologicalprogress.Keywords:artificialintelligence;machinelearning;bankingsupervision;ECB;EUadministrativelaw;goodadministration;
fundamentalrights;judicialreview.JELCodes:
G18,G28,G38,K22,K42,O33,O38.*
Research
Associate,
Centre
for
Banking
&
Finance
Law,
National
University
of
Singapore;
PhD
candidateinLaw,UniversityofHamburg.†
Lecturer
in
Commercial,
Corporate,
and
Banking
Law,
University
of
Leeds;
PhD
candidate
in
Law,
GoetheUniversityFrankfurt.‡
Professor
of
Law
&
Finance
and
Director
of
the
Institute
of
Law
&
Economics,
University
of
Hamburg;VisitingProfessor,StanfordLawSchool.We
are
grateful
to
the
European
Central
Bank
for
awarding
us
a
scholarship
under
the
ECB
Legal
ResearchProgramme
2022,
and
for
their
kind
support
and
assistance
throughout
the
research
process.
We
alsothank
the
anonymous
ECB
officials
who
provided
us
with
constructive
feedback
on
earlier
versions
of
thiswork.Electroniccopyavailableat:/abstract=4430642WorkingPaperVersion(April2023)TABLEOFCONTENTSI.INTRODUCTION
.....................................................................................................
1ARTIFICIALINTELLIGENCE,
SUPTECH,
ANDEU
BANKINGSUPERVISION
....................
4A.
SupTechmeetsBankingSupervision
................................................................
4B.
AIinBankingSupervision:OpportunitiesandChallenges
...............................
10GOODADMINISTRATIVEBEHAVIOURINEU
BANKINGSUPERVISION........................
18II.III.A.
The
Supervisory
Mandate:
From
Institutional
Powers
to
Daily
Operations
andDecision-MakingProcedures...........................................................................
19B.
GoodAdministrationandSupervisoryProcedures...........................................
23C.
GoodAdministrationasaStandardforJudicialReview...................................
28D.
GoodAdministrationasaBasisforSupervisoryLiability
.................................
32ENSURINGGOODADMINISTRATIONINAI
BANKINGSUPERVISION...........................
33A.
TheimplicationsofAIforGoodAdministration
................................................
34B.
EUSecondaryLawRequirementsonAIsystems............................................
43A
NORMATIVEFRAMEWORKFORTRUSTWORTHYAI
INBANKINGSUPERVISION.......
55A.
Risk-basedRegulationofAISystems..............................................................
56B.
LegalRequirementsonTransparency
.............................................................
58IV.V.VI.
CONCLUSION
.....................................................................................................
62ACKNOWLEDGEMENTS.................................................................................................
64iElectroniccopyavailableat:/abstract=4430642WorkingPaperVersion(April2023)I.INTRODUCTIONThe
dawn
of
Artificial
Intelligence
(AI),
particularly
its
subfield
of
Machine
Learning
(ML),in
public
services
has
opened
up
a
world
of
transformative
possibilities,
potentiallyrevolutionising
the
way
institutions
operate.1
The
advantages
offered
by
AI
are
indeed
toopromising
to
ignore.
AI
can
significantly
enhance
efficiency
and
improve
service
qualityby
streamlining
administrative
processes,
optimising
resource
use,
lowering
costs,
andachieving
greater
outcome
accuracy.2
However,
while
embracing
cutting-edgetechnologies
such
as
AI,
public
institutions
must
also
grapple
with
the
equally
pressingchallenges
of
transparency,
accountability,
eliminating
bias,
discrimination,
and
loss
ofpublictrust.3
Inanutshell,withgreatpowercomesgreatresponsibility.Acknowledging
the
intricacy
of
striking
a
balance
between
these
contrastingaspects,
also
banking
supervisors
worldwide
are
progressively
endeavouring
to
leveragethe
potential
of
frontier
technologies
while
curtailing
the
related
legal,
operational,
andreputational
risks.4
While
banking
supervision
has
long
relied
on
human
supervisors’professional
experience
and
technical
competence,
cutting-edge
automated
technologiestoday
offer
enormous
advantages
that
cannot
be
overlooked.
In
fact,
the
digitalisation
anddatafication
of
the
banking
industry
have
made
technology-driven
and
algorithm-basedbankingsupervisionaconcretenecessity.5
AIhasthepotentialtodeliverunprecedentedefficiency
and
enhanced
cognitive
capabilities,
resulting
in
a
wealth
of
benefits.Recognising
this,
the
European
Central
Bank
(ECB),
in
its
function
as
the
EU’s
bankingsupervisor6,
has
embraced
the
possibilities
offered
by
supervisory
technologies(SupTech)
as
a
crucial
element
of
its
strategic
vision.
To
drive
innovation
and
explore1
ForanEUperspective,
seeGianlucaMisuracaandColinvanNoordt,‘AIWatch–ArtificialIntelligenceinpublic
services:
Overview
of
the
use
and
impact
of
AI
in
public
services
in
the
EU’,
EUR
30255
EN,(Publications
Office
of
the
European
Union,
2020),
</10.2760/039619>
accessed
15
April2023.2
For
a
literature
review
on
current
trends
and
possible
future
uses
of
AI
in
the
public
sector,
see
WesleiGomes
de
Sousa
and
others,
‘How
and
where
is
artificial
intelligence
in
the
public
sector
going?
A
literaturereview
and
research
agenda’
(2019)
36(4)
Government
Information
Quarterly
101392,</10.1016/j.giq.2019.07.004>accessed15April2023.3
For
a
brief
overview
of
the
challenges
posed
by
AI,
see
Bernd
W
Wirtz,
Jan
C
Weyerer,
and
Benjamin
JSturm,
‘The
Dark
Sides
of
Artificial
Intelligence:
An
Integrated
AI
Governance
Framework
for
PublicAdministration’(2020)43(9)InternationalJournalofPublicAdministration818,</10.1080/01900692.2020.1749851>accessed15April2023.4
Eg,
Dirk
Broeder
and
Jermy
Prenio,
‘Innovative
technology
in
financial
supervision
(suptech)
-
theexperience
of
early
users’
(2018)
FSI
Insights
on
policy
implementation
No
9,
July
2018,
Bank
ofInternational
Settlements,
2-3
and
17-19,
</fsi/publ/insights9.pdf>
accessed
15
April2023.5
See
Douglas
W
Arner
and
others,
‘The
Future
of
Data-Driven
Finance
and
RegTech:
Lessons
from
EUBigBangII’(2020)25(2)StanfordJournalofLaw,Business&Finance245.6
TheSingleSupervisoryMechanism(SSM)istheECB’sbankingsupervisionarm.1Electroniccopyavailableat:/abstract=4430642WorkingPaperVersion(April2023)new
solutions,
the
ECB
has
established
a
dedicated
Suptech
Hub.
The
future
of
EUbanking
supervision
is
therefore
upon
us,
and
it
is
powered
by
AI.
At
the
same
time,however,
the
current
journey
towards
AI-enhanced
banking
supervision
must
alsocarefully
consider
the
impact
of
such
technology
on
institutional
transparency
andaccountability.7
Indeed,
as
banking
supervisors
turn
to
AI
to
enhance
their
capability
insafeguarding
the
stability
of
the
financial
system,
several
critical
questions
loom,
mainly:How
will
the
integration
of
automated
technology
impact
the
transparency
andaccountability
of
the
ECB—a
public
institution
within
a
democratic
order
built
on
the
ruleof
law?
Hence,
can
the
principle
of
‘good
administration’
still
be
upheld
while
embracingautomationinbankingsupervision?Notably,
the
concept
of
good
administration
represents
the
constitutionalbackbone
of
good
governance
in
public
service.8
Good
administration
encompasses
legalprinciples
and
values
such
as
transparency,
accountability,
impartiality,
and
respect
forfundamentalrights,amongothers.9
Italsoservesasaguidinglighttoensureethicalandhuman-centred
behaviour
in
public
administration.10
Traditionally,
good
administration
ismeant
to
constrain
human
officials’
behaviour
to
limit
the
use
of
arbitrary
power
anddiscretion,
thus
keeping
their
actions
and
decisions
within
the
legal
boundaries
of
theirinstitutional
mandate.11
But,
with
the
integration
of
AI
into
administrative
procedures,
thereis
now
a
pressing
need
to
re-evaluate
the
legal
significance
and
scope
application
of
goodadministration
given
the
challenges
raised
by
digitalisation.12
Particularly,
while
AI
canbring
more
rationality
and
fairness
to
public
services
by
limiting,
for
instance,
human7
The
interest
and
support
for
this
study
by
the
ECB
through
its
Legal
Research
Programme
2022
is
a
clearindicationof
thegrowingrecognitionof
thesepressingissuesat
theinstitutionallevelandisundoubtedlyapositivestepforward.8
See
Council
of
Europe,
‘Recommendation
CM/Rec(2007)7
of
the
Committee
of
Ministers
to
memberstatesongoodadministration’[2007],</16807096b9>
accessed15April2023.9
To
note,
the
concepts
of
‘good
administration’
and
‘good
governance’
are
often
used
interchangeably.
Onthe
scope
of
good
administration
and
its
role
to
promote
good
governance
in
public
services,
see
ThierryTanquerel,
‘Good
Administration
at
the
service
of
good
governance:
safeguarding
individual
rights
andimplementing
democratic
decisions’
(2008)
Report
presented
at
the
European
conference
‘In
Pursuit
ofGood
Administration’,
Warsaw,
29-30
November
2007,
DA/ba/Conf
(2007)
6
e,
<https://www.uni-speyer.de/fileadmin/Lehrstuehle/Stelkens/Paneuropean_Principles/1DA-ba-Conf__2007__6_e_-_T._Tanquerel.pdf>accessed15April2023.10
See
Joana
Mendes,
‘Good
Administration
in
EU
Law
and
the
European
Code
of
Good
AdministrativeBehaviour’
(2009)
EUI
Working
Papers,
Law
09/2009,
3-10,
</1814/12101>
accessed15April2023.11
Eg,
Juli
Ponce,
‘Good
Administration
and
Administrative
Procedures’
(2005)
12(2)
Indiana
Journal
ofGlobalLegalStudies551,554-556.12
See,
eg,
Lenka
Jančová
and
Meenakshi
Fernandes,
‘Digitalisation
and
administrative
law:
Europeanadded
value
assessment’
(2022)
European
Parliamentary
Research
Service,
PE
730.350,<https://www.europarl.europa.eu/RegData/etudes/STUD/2022/730350/EPRS_STU(2022)730350_EN.pdf>accessed15April2022.2Electroniccopyavailableat:/abstract=4430642WorkingPaperVersion(April2023)biases
and
undue
discretion,13
it
can
also
threaten
institutional
accountability
if
notdeveloped,
used,
and
maintained
properly,
leading
to
potential
maladministration
andabusesbyAI-poweredofficials.14All
these
developments
have
undoubtedly
aroused
growing
scholarly
interest.
Onone
hand,
an
emerging
body
of
literature
is
interested
in
understanding
the
legalimplications
of
the
concept
of
good
administration
for
independent
public
authorities
suchas
modern
central
banks.15
On
the
other
hand,
legal
scholars
are
investigating
thechallenges
that
AI
and
automated
decision-making
(ADM)
pose
for
publicadministrations.16
Our
aim
is
to
bridge
these
two
areas
by
examining
how
AI
affects
goodadministration
in
the
context
of
EU
prudential
banking
supervision.
In
doing
so,
this
paperis
organised
as
follows.
In
Section
II,
we
delve
into
the
current
state
of
adoption
ofSupTech
tools,
with
a
particular
emphasis
on
AI/ML-based
solutions,
by
the
ECB
with
theSingle
Supervisory
Mechanism
(SSM).
Moving
to
Section
III,we
examine
the
concept
ofgood
administration
in
EU
public
law
and
discuss
the
ethical
and
legal
responsibilities
ofthe
ECB
to
uphold
good
administration
standards
in
banking
supervision.
Building
on
thisfoundation,Section
IV
considers
the
implications
of
AI-enhanced
banking
supervision
forgood
administration.
It
examines
how
the
latter,
as
well
as
existing
and
emerging
EUpieces
of
legislation
targeting
the
use
of
AI
by
public
institutions,
may
inform—justifyingor
limiting—the
integration
of
automated
technology
into
supervisory
practices.
Based
onthese
insights,
Section
V
proposes
a
normative
framework
for
regulating
AI
systems
toensure
good
administration
in
banking
supervision.
Drawing
inspiration
from
theregulatory
approach
of
the
EU
AI
Act17,
our
framework
suggests
regulating
AI
systemsbased
on
the
specific
risks
to
good
administration
associated
with
different
applications,focusing
on
transparency
and
accountability
requirements.
Eventually,
Section
VIconcludes.13
Cary
Coglianese,
‘Administrative
law
in
the
automated
state’
(2021)
150(3)
Daedalus
104,
110,</faculty_scholarship/2273>
accessed
15
April
2023,
discussing
howcontrolofhumandiscretioncanbeimprovedbyautomatingcertainadministrativetasks.14
Michèle
Finck,
‘Automated
Decision-Making
and
Administrative
Law’,
in
Peter
Cane
and
others
(eds),TheOxfordHandbookof
ComparativeAdministrativeLaw
(OUP2021)657,discussingonhowautomateddecisionsmightunderminetransparencyandaccountabilityofpublicinstitutions.15
See,
eg,
Peter
Conti-Brown,
Yair
Listokin,
and
Nicholas
R
Parrillo,
‘Towards
an
Administrative
Law
ofCentralBanking’(2021)38(1)YaleJournalonRegulation1.16
See,
eg,
Finck
(n
14),
with
more
critical
comments
on
AI
lacking
transparency;
and
Coglianese
(n
13),withmoresupportivecommentsonAIlimitingdiscretion.17
European
Commission,
‘Proposal
for
a
Regulation
of
The
European
Parliament
and
of
the
Council
layingdown
harmonised
rules
on
Artificial
Intelligence
(Artificial
Intelligence
Act)
and
amending
certain
Unionlegislativeacts’,Brussels,21April2021,COM(2021)206final[hereinaftertheAIAct].3Electroniccopyavailableat:/abstract=4430642WorkingPaperVersion(April2023)II.ARTIFICIALINTELLIGENCE,
SUPTECH,
ANDEU
BANKINGSUPERVISIONSupervisory
technology,
or
SupTech,
is
proposed
to
revolutionise
the
way
financialsupervision
is
conducted.18
As
a
key
player
in
this
space,
the
Bank
for
InternationalSettlements
(BIS)
defines
SupTech
as
the
innovative
use
of
technology
to
supportsupervision,
facilitating
the
trend
towards
digitization
of
reporting
and
regulatoryprocesses.19
Among
the
various
technologies
encompassed
by
SupTech,
AI
andparticularly
ML
are
widely
considered
game-changers.20
By
making
available
powerfulanalytical
tools,
SupTech
has
the
potential
to
move
prudential
banking
supervision
froma
backward-looking
to
a
predictive
process.21
At
the
same
time,
the
same
BISacknowledges
that
such
tools
bring
uncharted
legal
and
ethical
issues
that
cannot
beignored.22
Inthissection,weexploretheexcitingpotentialanddauntingrisksassociatedwith
AI
in
SupTech
in
light
of
the
techno-legal
landscape
of
this
transformative
technology.A.
SupTechmeetsBankingSupervisionThe
dynamic
and
increasingly
complex
nature
of
the
banking
system,
along
withexploding
levels
of
regulatory
requirements,
poses
challenges
to
the
effectiveness
ofbankingsupervision.23
Although
innovative
technologieshave
enabledthe
emergence
ofnewbusinessandorganisationalmodelsinthebankingindustry,theyarealsoproposedto
transform
the
way
regulatory
compliance
and
supervisory
oversight
activities
areconducted.24
In
this
landscape,
a
new
game
of
‘cat-and-mouse’
has
emerged
betweenfinancial
supervisors
and
private
organizations,
with
the
latter
leading
the
charge
inadopting
newtechnologies.25
Inthe
remainder
ofthis
section,
we
delve
into
the
complex18
The
term
‘SupTech’
entered
the
lexicon
of
the
financial
industry
in
March
2017
when
Mr
Ravi
Menon,
theManaging
Director
of
the
Monetary
Authority
of
Singapore
(MAS),
introduced
the
term
to
the
public.
SeeRavi
Menon,
‘Financial
Regulation
–
The
Forward
Agenda’
(2017)
Keynote
Address
at
the
AustralianSecurities
and
Investments
Commission
(ASIC)
Annual
Forum
2017
on
20
March
2027,<.sg/news/speeches/2017/financial-regulation>accessed15April2023.19
BroedersandPrenio(n4)1.20
See,
eg,
Organization
for
Economic
Co-operation
and
Development
(OECD),
‘OECD
Business
andFinanceOutlook2021’:AIinBusinessandFinance’(2021)121-140,</10.1787/ba682899-en>accessed15April2023.21
BroedersandPrenio(n4)3.22
ibid.23
See
Dan
Awrey
and
Kathryn
Judge,
‘Why
financial
regulation
keeps
falling
short’
(2020)
61
BostonCollegeLawReview2295.24
See,eg,DouglasWArner,JanosBarberis,andRossPBuckley,‘TheEvolutionofFintech:Anewpost-crisisparadigm’(2016)47(4)
GeorgetownJournalofInternationalLaw1271.25
For
an
account
of
the
challenges
that
financial
regulators
face
in
catching
up
with
market
players
in
thetechnology
endowment,
from
a
capital
markets
perspective,
see
Alessio
Azzutti,
‘The
Algorithmic
Future
ofEU
Market
Conduct
Supervision:
A
Preliminary
Check’,
in
Lukas
Böffel
and
Jonas
Schürger
(eds),4Electroniccopyavailableat:/abstract=4430642WorkingPaperVersion(April2023)and
ever-evolving
relationship
between
RegTech
and
SupTech,
along
with
the
challengesand
opportunities
arising
from
this
dynamic
interaction,
be
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